The Role
Lead paid media measurement and analytics by building reusable, self-service data products and Power BI dashboards. Design and evaluate models and experiments, translate results into actionable recommendations for media investment and optimization, collaborate across marketing, media, research, and agency partners, and improve reporting efficiency and signal quality.
Summary Generated by Built In
Overview
Responsibilities
Qualifications
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
The Global Marketing Engines and Experiences (E&E) team within Microsoft is responsible for delivering integrated marketing experiences for Microsoft by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans.
The Media Data Science and Analytics team within E&E enables data-driven decision making by providing data products and insights to measure marketing's performance and impact, understand the customer experience, and develop systems of learning for marketers.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
About You
As a Senior Paid Media Data Analyst on the Media Data Science and Analytics team, you will play a critical role in establishing and promoting measurement frameworks that create better investment decision making. This will include developing solutions that are reusable, readily discoverable by decision makers, and self-service oriented, all while driving meaningful interpretation of data and supporting media optimization.
The optimal candidate thrives in fast-paced environments, demonstrates comfort with ambiguity, and collaborates effectively across teams and functional boundaries. Curiosity, a bias for action, and the ability to balance business context with technical expertise are essential.
In this role, you will support the rhythm of business by providing actionable recommendations to paid media stakeholders based on rigorous analysis and clear insights. You will leverage analytical techniques to develop scalable, efficient, and impactful data products while also diving deep into the details to uncover the story behind the data. You will bring sharp analytical thinking, strong communication skills, and the confidence to engage with executives and stakeholders across the business.
Key focus areas may include: campaign performance measurement, creative and audience testing, signal quality, perception measurement, survey design attribution and incrementality interpretation, funnel diagnostics, dashboard development, and translating learning agenda questions into repeatable analytical approaches.
Responsibilities
Improvement and Efficiency
- Identify and promote methods that enhance efficiency in analytics and reporting.
- Ensure solutions are reusable, easily discoverable, and self-service oriented.
- Drive meaningful data interpretation to inform paid media business decisions.
- Recommend and socialize optimal methods for operationalizing, sharing, and scaling insights.
- Share knowledge and practical rationale for transitioning ad-hoc analyses to regular reporting features.
- Share domain knowledge to create clarity and ensure readiness to leverage data and insights effectively.
- Evaluate the viability of automated methods for data collection, reporting, and analysis.
Model Evaluation
- Understand the relationship between analytical models or experiment designs and business objectives.
- Establish clear linkage between generated models or experiment designs and desired business outcomes.
- Assess the degree to which models meet business objectives and address gaps.
- Ensure alignment on definitions and standards across stakeholders.
- Define, design, and promote appropriate feedback and evaluation methods or experiment designs.
- Present results and findings to stakeholders.
Orchestration and Collaboration
- Leverage working relationships within and across teams to ensure alignment and quality execution.
- Drive the adoption of recommended data sources and analysis practices.
- Proactively engage stakeholders to identify and act on opportunities to leverage data and resources.
- Consult across teams on decisions related to data sourcing, analyses, and interpretation of results.
Reporting and Sharing Results
- Share insights and analytical experience through various means, including dashboards, reports, and visualizations.
- Synthesize and simplify details across analyses to highlight relevant findings.
- Identify opportunities to improve the efficiency of insights reporting techniques.
- Guide others and establish partnerships with stakeholders to ensure results are accessible and relevant.
Dashboard Builds
- Develop and own Power BI dashboards to understand end-to-end campaign performance.
Embody our Culture & Values.
Qualifications
Required/minimum qualifications
- Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
Additional or preferred qualifications
- Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
- Experience with perception measurement and survey design.
- Demonstrated experience operating at a senior individual contributor level, independently owning complex paid media analytics and measurement initiatives from problem definition through recommendation and implementation.
- Proven experience developing and advancing paid media measurement frameworks across campaign performance, audience and creative testing, attribution, incrementality, funnel diagnostics, perception measurement, and media optimization.
- Experience translating complex paid media data into strategic recommendations that influence media investment, optimization, audience, and campaign decisions.
- Demonstrated ability to lead complex, ambiguous paid media analytical workstreams with limited direction and drive alignment across marketing, media, data science, research, agency, and business stakeholders.
- Experience presenting analytical findings and recommendations to senior leaders and executive stakeholders and influencing decisions through data.
Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Master's Degree in a related field AND 2+ years experience OR Bachelor's Degree in a related field AND 4+ years experience OR equivalent experience.
- Master's Degree with 6+ years experience OR Bachelor's Degree with 8+ years experience OR equivalent experience.
- Experience with perception measurement and survey design.
- Demonstrated experience operating at a senior individual contributor level, independently owning complex paid media analytics and measurement initiatives.
- Proven experience developing and advancing paid media measurement frameworks (campaign performance, audience and creative testing, attribution, incrementality, funnel diagnostics, perception measurement).
- Experience translating complex paid media data into strategic recommendations that influence media investment, optimization, audience, and campaign decisions.
- Ability to lead complex, ambiguous paid media analytical workstreams with limited direction and drive alignment across stakeholders.
- Experience presenting analytical findings and recommendations to senior leaders and executive stakeholders.
- Experience developing and owning Power BI dashboards to report end-to-end campaign performance.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
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The Company
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
